Evaluation of Drug Abuse on Brain Function using Power Spectrum Analysis of Electroencephalogram Signals in Methamphetamine, Opioid, Cannabis, and Multi-Drug Abuser Groups

Background: The effect of different types of substances on brain function is still challenging; however, many studies have shown the functional and structural damage to the brain under influence of substance abuse. Objective: This study aimed to quantitatively compare the effect of opioid (Op), meth...

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Main Authors: Nasimeh Marvi, Javad Haddadnia, Mohammad Reza Fayyazi Bordbar
Format: Article
Language:English
Published: Shiraz University of Medical Sciences 2023-04-01
Series:Journal of Biomedical Physics and Engineering
Subjects:
Online Access:https://jbpe.sums.ac.ir/article_49122_734e92a9cb5dca071a0ffff9df22e19a.pdf
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author Nasimeh Marvi
Javad Haddadnia
Mohammad Reza Fayyazi Bordbar
author_facet Nasimeh Marvi
Javad Haddadnia
Mohammad Reza Fayyazi Bordbar
author_sort Nasimeh Marvi
collection DOAJ
description Background: The effect of different types of substances on brain function is still challenging; however, many studies have shown the functional and structural damage to the brain under influence of substance abuse. Objective: This study aimed to quantitatively compare the effect of opioid (Op), methamphetamine (Meth), cannabis (Can), and simultaneous methamphetamine and opioid (Multi-Drug (MD)) abuse on brain function. Furthermore, the impacts of pure Op and Meth abuse were considered with simultaneous substance abuse.Material and Methods: In this descriptive study, the electroencephalogram (EEG) signal was recorded from 52 participants in the Meth, Op, Can, and MD abusers, and the Healthy Control (HC) groups at rest state. EEG data were analyzed on the frequency domain with electrode-based, cortex-based, and hemisphere-based approaches. Results: However, the power spectrum in the delta band in the Op group, the gamma band in the Can group, and the gamma and beta bands in the MD group more significantly increased compared to the HC group, the power spectrum values in the Meth group reduced in the alpha, beta, and gamma bands. Moreover, the power spectrum values in the MD group more significantly higher than the Meth and Op groups in the beta and gamma bands. Conclusion: Since substance abuse in different types caused various changes in frequency components, the different power spectrum bands analysis in abusers can be reasonable to apply as a biomarker to detect the drug types.
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spelling doaj.art-4b0714c967ed47d79a019a044be94ef32023-04-16T11:14:40ZengShiraz University of Medical SciencesJournal of Biomedical Physics and Engineering2251-72002023-04-0113218119210.31661/jbpe.v0i0.2210-155049122Evaluation of Drug Abuse on Brain Function using Power Spectrum Analysis of Electroencephalogram Signals in Methamphetamine, Opioid, Cannabis, and Multi-Drug Abuser GroupsNasimeh Marvi0Javad Haddadnia1Mohammad Reza Fayyazi Bordbar2Department of Electrical and Computer Engineering, Hakim Sabzevari University, Sabzevar, IranDepartment of Electrical and Computer Engineering, Hakim Sabzevari University, Sabzevar, IranPsychiatry and Behavioral Sciences Research Center, Mashhad University of Medical Sciences, Mashhad, IranBackground: The effect of different types of substances on brain function is still challenging; however, many studies have shown the functional and structural damage to the brain under influence of substance abuse. Objective: This study aimed to quantitatively compare the effect of opioid (Op), methamphetamine (Meth), cannabis (Can), and simultaneous methamphetamine and opioid (Multi-Drug (MD)) abuse on brain function. Furthermore, the impacts of pure Op and Meth abuse were considered with simultaneous substance abuse.Material and Methods: In this descriptive study, the electroencephalogram (EEG) signal was recorded from 52 participants in the Meth, Op, Can, and MD abusers, and the Healthy Control (HC) groups at rest state. EEG data were analyzed on the frequency domain with electrode-based, cortex-based, and hemisphere-based approaches. Results: However, the power spectrum in the delta band in the Op group, the gamma band in the Can group, and the gamma and beta bands in the MD group more significantly increased compared to the HC group, the power spectrum values in the Meth group reduced in the alpha, beta, and gamma bands. Moreover, the power spectrum values in the MD group more significantly higher than the Meth and Op groups in the beta and gamma bands. Conclusion: Since substance abuse in different types caused various changes in frequency components, the different power spectrum bands analysis in abusers can be reasonable to apply as a biomarker to detect the drug types.https://jbpe.sums.ac.ir/article_49122_734e92a9cb5dca071a0ffff9df22e19a.pdfelectroencephalographycannabisopioid-related disorderspower spectrum analysismethamphetamines 
spellingShingle Nasimeh Marvi
Javad Haddadnia
Mohammad Reza Fayyazi Bordbar
Evaluation of Drug Abuse on Brain Function using Power Spectrum Analysis of Electroencephalogram Signals in Methamphetamine, Opioid, Cannabis, and Multi-Drug Abuser Groups
Journal of Biomedical Physics and Engineering
electroencephalography
cannabis
opioid-related disorders
power spectrum analysis
methamphetamines 
title Evaluation of Drug Abuse on Brain Function using Power Spectrum Analysis of Electroencephalogram Signals in Methamphetamine, Opioid, Cannabis, and Multi-Drug Abuser Groups
title_full Evaluation of Drug Abuse on Brain Function using Power Spectrum Analysis of Electroencephalogram Signals in Methamphetamine, Opioid, Cannabis, and Multi-Drug Abuser Groups
title_fullStr Evaluation of Drug Abuse on Brain Function using Power Spectrum Analysis of Electroencephalogram Signals in Methamphetamine, Opioid, Cannabis, and Multi-Drug Abuser Groups
title_full_unstemmed Evaluation of Drug Abuse on Brain Function using Power Spectrum Analysis of Electroencephalogram Signals in Methamphetamine, Opioid, Cannabis, and Multi-Drug Abuser Groups
title_short Evaluation of Drug Abuse on Brain Function using Power Spectrum Analysis of Electroencephalogram Signals in Methamphetamine, Opioid, Cannabis, and Multi-Drug Abuser Groups
title_sort evaluation of drug abuse on brain function using power spectrum analysis of electroencephalogram signals in methamphetamine opioid cannabis and multi drug abuser groups
topic electroencephalography
cannabis
opioid-related disorders
power spectrum analysis
methamphetamines 
url https://jbpe.sums.ac.ir/article_49122_734e92a9cb5dca071a0ffff9df22e19a.pdf
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